Evaluation of cell segmentation methods without reference segmentations-Reference-Cited by-同舟云学术

Evaluation of cell segmentation methods without reference segmentations

Published:2023-05-15 Issue:6 Volume:34 Page:
ISSN:1059-1524
Container-title:Molecular Biology of the Cell
language:en
Short-container-title:MBoC

Author:

Chen Haoran¹,Murphy Robert F.¹

Affiliation:

1. Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213

Abstract

We developed metrics and an open source tool to evaluate the cell segmentation quality of multichannel images without a human-labeled reference. Deep learning–based methods performed the best, but postprocessing to ensure proper matching of cell and nuclear masks dramatically improved performance.

Publisher

American Society for Cell Biology (ASCB)

Subject

Cell Biology,Molecular Biology

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